Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 59,90
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Da: Best Price, Torrance, CA, U.S.A.
EUR 54,35
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EUR 61,40
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 68,56
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Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367770504 ISBN 13: 9780367770501
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 71,66
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book focuses on the theory, practice, and concepts of process mining techniques in detail, especially pattern recognition in diverse society, science, medicine, engineering, and business. The book deliberates several perspectives on process mining techniques in the broader context of data science and big data approaches. Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice provides an introduction to process mining techniques and pattern recognition. After that, it delivers the fundamentals of process modelling and mining essential to comprehend the book. The text emphasizes discovery as an important process mining task and includes case studies as well as real-life examples to guide users in successfully applying process mining techniques for pattern recognition in practice.Intended to be an introduction to process mining and pattern recognition for students, academics, and practitioners, this book is perfect for those who want to learn the basics, and also gain an understanding of the concepts on a deeper level. This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of diverse themes: Society, Science, Medical, Engineering, and business. The book discusses several perspectives of process mining techniques in the broader context of data science and big data approaches. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 66,25
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 300.
EUR 76,14
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Aggiungi al carrelloCondizione: New. illustrations some color First edition Includes bibliographical references and index.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 68,83
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EUR 71,60
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 66,24
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 75,19
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Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367770504 ISBN 13: 9780367770501
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 64,85
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book focuses on the theory, practice, and concepts of process mining techniques in detail, especially pattern recognition in diverse society, science, medicine, engineering, and business. The book deliberates several perspectives on process mining techniques in the broader context of data science and big data approaches. Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice provides an introduction to process mining techniques and pattern recognition. After that, it delivers the fundamentals of process modelling and mining essential to comprehend the book. The text emphasizes discovery as an important process mining task and includes case studies as well as real-life examples to guide users in successfully applying process mining techniques for pattern recognition in practice.Intended to be an introduction to process mining and pattern recognition for students, academics, and practitioners, this book is perfect for those who want to learn the basics, and also gain an understanding of the concepts on a deeper level. This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of diverse themes: Society, Science, Medical, Engineering, and business. The book discusses several perspectives of process mining techniques in the broader context of data science and big data approaches. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 85,29
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Aggiungi al carrelloPaperback. Condizione: Brand New. 180 pages. 9.18x6.12x9.21 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2024
ISBN 10: 0367770504 ISBN 13: 9780367770501
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 73,76
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book focuses on the theory, practice, and concepts of process mining techniques in detail, especially pattern recognition in diverse society, science, medicine, engineering, and business. The book deliberates several perspectives on process mining techniques in the broader context of data science and big data approaches. Process Mining Techniques for Pattern Recognition: Concepts, Theory, and Practice provides an introduction to process mining techniques and pattern recognition. After that, it delivers the fundamentals of process modelling and mining essential to comprehend the book. The text emphasizes discovery as an important process mining task and includes case studies as well as real-life examples to guide users in successfully applying process mining techniques for pattern recognition in practice.Intended to be an introduction to process mining and pattern recognition for students, academics, and practitioners, this book is perfect for those who want to learn the basics, and also gain an understanding of the concepts on a deeper level. This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of diverse themes: Society, Science, Medical, Engineering, and business. The book discusses several perspectives of process mining techniques in the broader context of data science and big data approaches. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
EUR 145,46
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Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
EUR 151,99
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EUR 156,54
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EUR 165,57
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 173,51
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 207,68
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 199,03
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 197,17
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 213,35
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 185.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 213,37
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Da: Revaluation Books, Exeter, Regno Unito
EUR 257,15
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Aggiungi al carrelloHardcover. Condizione: Brand New. 168 pages. 9.19x6.13x0.55 inches. In Stock.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 79,08
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 73,33
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of diverse themes: Society, Science, Medical, Engineering, and business. The book discusses several perspectives of process mining techniques in the broader context of data science and big data approaches.
Da: moluna, Greven, Germania
EUR 190,01
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Vikash Yadav received B.Tech. Degree from Uttar Pradesh Technical University, Lucknow, India in 2009 and M.Tech. Degree from Motilal Nehru National Institute of Technology, Prayagraj, Allahabad, India in 2013. He obtained the Ph.D. degre.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 212,08
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of diverse themes: Society, Science, Medical, Engineering, and business. The book discusses several perspectives of process mining techniques in the broader context of data science and big data approaches.